<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Fares Grina</title><link>https://faresgr.github.io</link><description>AI engineer and researcher working on uncertainty, evaluation and trustworthy machine learning.</description><item><title>Jev vs. classical ML: how many labels is a good description worth?</title><link>https://faresgr.github.io/blog/2026/how-many-labels-is-a-description-worth/</link><guid>https://faresgr.github.io/blog/2026/how-many-labels-is-a-description-worth/</guid><pubDate>Mon, 28 Sep 2026 00:30:00 +0200</pubDate><description>Following Jev’s announcement, I compared task descriptions with labeled training data on three datasets. Competitive on topics and intents, far behind on emotions: what the results say about confidence.</description></item></channel></rss>